The problem
Finding profiles, comparing information and preparing follow-ups required several tools and a large amount of manual work. The goal was not to automate an HR decision. It was to give professionals a clearer place to do the work.
This case study describes a system built inside a technology business. The company name, candidate data and internal information remain confidential.
Grouped information, visible sources and items to verify before a person moves the process forward.
Finding profiles, comparing information and preparing follow-ups required several tools and a large amount of manual work. The goal was not to automate an HR decision. It was to give professionals a clearer place to do the work.
I started with the real journey: find relevant profiles, collect useful information, compare candidates and prepare the next action. The system followed those steps rather than forcing the work into a generic AI demonstration.
Collect from approved sources
Organise profiles and information
Assist analysis with links back to sources
Keep decisions and communication human
Research and preparation work could be brought into one coherent interface. Users kept control of decisions, could return to the source information and had better context before taking action.
Describe what is slow, manual or difficult to track. I will help you identify the simplest useful next step.